Memory Management in Big Data | Apache Spark Tutorial | Intellipaat
32This video on "What Is Memory Management in Big Data ?" will help you understand the concepts like Apache Spark, Memory Management Layer, Optimization, What benefits it has to offer along with its importance. So, let's get started with this Memory Management in Big Data tutorial!
🔵 What is Memory Management in Big Data?
Controlling and coordinating a computer's primary memory is known as memory management. It ensures that memory space allocation and management are done correctly so that the operating system (OS), programs, and other processes that are currently running have access to the memory they require to function.
🔵 Why Learn Big Data?
Organizations may harness their data and use big data analytics to find new opportunities.
This results in wiser company decisions, more effective operations, greater profitability, and happier clients.
Businesses that combine big data with sophisticated analytics benefit in a variety of ways, including:
When it comes to the expense of keeping vast amounts of data, big data technologies like cloud-based analytics can drastically cut that cost (for example, a data lake).
Additionally, big data analytics assists businesses in finding ways to operate more effectively.
Businesses can quickly evaluate information and make quick, educated decisions because of in-memory analytics' speed and the capacity to examine new sources of data, such as streaming data from IoT.
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